Sang-Woo Lee

Orcid: 0000-0002-0642-5064

Affiliations:
  • Naver AI Lab, South Korea
  • Seoul National University, School of Computer Science and Engineering, South Korea (former)


According to our database1, Sang-Woo Lee authored at least 57 papers between 2010 and 2024.

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Timeline

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Bibliography

2024
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Deep Q-Network Based Beam Tracking for Mobile Millimeter-Wave Communications.
IEEE Trans. Wirel. Commun., 2023

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Query-Efficient Black-Box Red Teaming via Bayesian Optimization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Can Current Task-oriented Dialogue Models Automate Real-world Scenarios in the Wild?
CoRR, 2022

Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning.
CoRR, 2022

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Keep Me Updated! Memory Management in Long-term Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Attribute Injection for Pretrained Language Models: A New Benchmark and an Efficient Method.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Continuous Decomposition of Granularity for Neural Paraphrase Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Two-Step Question Retrieval for Open-Domain QA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Plug-and-Play Adaptation for Continuously-updated QA.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Response Generation with Context-Aware Prompt Learning.
CoRR, 2021

Efficient Attribute Injection for Pretrained Language Models.
CoRR, 2021

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.
CoRR, 2021

St-Bert: Cross-Modal Language Model Pre-Training for End-to-End Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Weakly Supervised Pre-Training for Multi-Hop Retriever.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
CareCall: a Call-Based Active Monitoring Dialog Agent for Managing COVID-19 Pandemic.
CoRR, 2020

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
CoRR, 2020

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Efficient Dialogue State Tracking by Selectively Overwriting Memory.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Suboptimal Approach to Antenna Design Problems With Kernel Regression.
IEEE Access, 2019

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Answerer in Questioner's Mind for Goal-Oriented Visual Dialogue.
CoRR, 2018

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation.
IEEE Commun. Surv. Tutorials, 2018

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Dual-memory neural networks for modeling cognitive activities of humans via wearable sensors.
Neural Networks, 2017

Micro-Objective Learning : Accelerating Deep Reinforcement Learning through the Discovery of Continuous Subgoals.
CoRR, 2017

Overcoming Catastrophic Forgetting by Incremental Moment Matching.
CoRR, 2017

Overcoming Catastrophic Forgetting by Incremental Moment Matching.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks.
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence, 2017

2016
Pascal's triangle-based range-free localization for anisotropic wireless networks.
Wirel. Networks, 2016

Heterogeneous Device Tracking With RSS Variation Mitigation Over a Radio Map.
IEEE Wirel. Commun. Lett., 2016

Array-based GNSS signal tracking with a reduced state signal model.
IEEE Trans. Aerosp. Electron. Syst., 2016

Multimodal Residual Learning for Visual QA.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dual-Memory Deep Learning Architectures for Lifelong Learning of Everyday Human Behaviors.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Kalman Filter-Based Indoor Position Tracking with Self-Calibration for RSS Variation Mitigation.
Int. J. Distributed Sens. Networks, 2015

Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy.
CoRR, 2015

A hyperbolic distance measurement model for range-free localization in anisotropic networks.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2015

2014
RAPS: Reliable Anchor Pair Selection for Range-Free Localization in Anisotropic Networks.
IEEE Commun. Lett., 2014

Multihop range-free localization with approximate shortest path in anisotropic wireless sensor networks.
EURASIP J. Wirel. Commun. Netw., 2014

Pascal's triangle-based multihop range-free localization for anisotropic sensor networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

PDR/fingerprinting fusion indoor location tracking using RSS recovery and clustering.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

IMU-assisted nearest neighbor selection for real-time WiFi fingerprinting positioning.
Proceedings of the 2014 International Conference on Indoor Positioning and Indoor Navigation, 2014

Multihop range-free localization with approximate shortest path in anisotropic networks.
Proceedings of the IEEE International Conference on Communications, 2014

2013
Online Incremental Structure Learning of Sum-Product Networks.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Wireless sensor network localization with connectivity-based refinement using mass spring and Kalman filtering.
EURASIP J. Wirel. Commun. Netw., 2012

2011
Enhanced DV-Hop Algorithm with Reduced Hop-Size Error in Ad Hoc Networks.
IEICE Trans. Commun., 2011

2010
An improved DV-Hop localization algorithm in ad hoc networks.
Proceedings of the 4th International Conference on Ubiquitous Information Management and Communication, 2010


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